Triple

T22412010
Position Surface form Disambiguated ID Type / Status
Subject ImageNet Classification with Deep Convolutional Neural Networks E554013 entity
Predicate hasCitationVenueAbbreviation P148056 FINISHED
Object NIPS 2012 NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NIPS 2012 | Statement: [ImageNet Classification with Deep Convolutional Neural Networks, hasCitationVenueAbbreviation, NIPS 2012]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIPS 2012
Context triple: [ImageNet Classification with Deep Convolutional Neural Networks, hasCitationVenueAbbreviation, NIPS 2012]
  • A. NIPS
    NIPS is the acronym for the Northern Ireland Prison Service, the government agency responsible for managing prisons and overseeing the custody and rehabilitation of offenders in Northern Ireland.
  • B. NeurIPS chosen
    NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
  • C. ICML
    ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
  • D. “A fast learning algorithm for deep belief nets”
    “A fast learning algorithm for deep belief nets” is a seminal 2006 paper by Geoffrey Hinton that introduced an efficient unsupervised pretraining method for deep neural networks using stacked restricted Boltzmann machines.
  • E. ICLR
    ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCitationVenueAbbreviation
Context triple: [ImageNet Classification with Deep Convolutional Neural Networks, hasCitationVenueAbbreviation, NIPS 2012]
  • A. hasCitationInformation
    Indicates that an entity is associated with specific citation details, such as source, reference, or bibliographic information.
  • B. hasCitationName
    Indicates that an entity is associated with a specific name or label used when citing it in references or bibliographies.
  • C. hasFullCitation
    Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
  • D. hasCitationForm
    Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
  • E. notablePublicationAbbreviation
    Indicates that an entity has a commonly used abbreviated form of the title or name of one of its notable publications.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15943dd84819099e77563da470594 completed April 29, 2026, 1:05 a.m.
PD Predicate disambiguation batch_69e8989495bc81909d2699fce5992e28 completed April 22, 2026, 9:44 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:46 p.m.